Column Toggling

Use the Columns dropdown in the toolbar to show/hide columns.

Wide Table

This table has 16 columns — try hiding some:

TableRows10Columns16
Wide Metrics Table
	id i64	metric_001 f64	metric_002 f64	metric_003 f64	metric_004 f64	metric_005 f64	metric_006 f64	metric_007 f64	metric_008 f64	metric_009 f64	metric_010 f64	metric_011 f64	metric_012 f64	metric_013 f64	metric_014 f64	metric_015 f64
0	0	-0.256	0.395	0.305	-0.62	-0.808	0.497	0.615	1.443	0.246	-1.974	0.325	1.465	-0.787	0.573	-0.337
1	1	0.511	0.185	-0.046	-0.74	0.245	-0.062	-0.612	0.578	0.434	-0.634	0.65	-0.445	0.632	0.001	0.386
2	2	-0.226	-1.666	0.521	-0.344	0.427	-1.465	-0.453	-1.9	1.594	0.842	0.12	-1.38	1.129	0.764	1.837
3	3	-0.315	0.855	-0.642	-0.106	-1.49	0.828	-1.265	-2.518	0.619	-1.811	1.146	-0.135	0.859	0.566	-2.565
4	4	-0.93	0.506	0.309	0.632	0.048	0.669	-0.968	0.357	0.519	-0.184	-0.662	-0.149	0.345	2.011	-1.124
5	5	-0.213	0.499	0.394	0.248	1.306	0.946	-0.531	-0.736	0.548	1.02	-0.415	-0.298	0.142	0.325	0.244
6	6	1.112	-1.691	-0.661	-0.447	-2.014	1.441	1.289	-1.12	-1.568	-1.311	1.042	1.405	0.152	-0.428	0.398
7	7	0.424	-1.744	1.718	-0.957	-0.322	0.362	-2.032	0.977	1.282	1.61	0.027	-1.027	0.575	-0.373	0.239
8	8	1.037	-0.89	0.557	-0.521	-0.106	0.119	-1.458	1.102	0.955	0.552	-0.88	1.261	-0.176	-0.013	-0.431
9	9	0.249	-0.468	1.197	1.221	-0.817	-1.299	0.239	0.157	0.53	-0.15	0.946	-1.268	0.277	0.924	0.655

Column Subset

Pre-select specific columns with columns=:

TableRows12Columns5
Cities — 3 columns only
	city str	country str	population i64
0	Tokyo	Japan	13960000
1	Paris	France	2161000
2	New York	USA	8336000
3	London	UK	8982000
4	Sydney	Australia	5312000
5	Berlin	Germany	3645000
6	Mumbai	India	20411000
7	São Paulo	Brazil	12330000
8	Cairo	Egypt	10230000
9	Toronto	Canada	2930000

Toggle Disabled

Set column_toggle=False to remove the dropdown:

TableRows12Columns5
No column toggle
	city str	country str	population i64	latitude f64	longitude f64
0	Tokyo	Japan	13960000	35.6762	139.6503
1	Paris	France	2161000	48.8566	2.3522
2	New York	USA	8336000	40.7128	-74.006
3	London	UK	8982000	51.5074	-0.1278
4	Sydney	Australia	5312000	-33.8688	151.2093
5	Berlin	Germany	3645000	52.52	13.405
6	Mumbai	India	20411000	19.076	72.8777
7	São Paulo	Brazil	12330000	-23.5505	-46.6333
8	Cairo	Egypt	10230000	30.0444	31.2357
9	Toronto	Canada	2930000	43.6532	-79.3832